[GRASS-user] supervised image classification using textural aspects

[Markus Neteler]

On Mon, Aug 25, 2008 at 2:39 PM, Nikos Alexandris
<nikos.alexandris at felis.uni-freiburg.de> wrote:
> On Fri, 2008-08-22 at 16:02 -0300, Milton Cezar Ribeiro wrote:
...
> All this is a "burning" issue for me as well. I was looking for
> r.texture as well but never found something detailed. I did some tests
> on my own without success. Now I read Markus' notes [1] and I'll try to
> play around sooner or later (thank you Markus).

Please consider to submit improvements of the r.texture manual
page then!

> If i.smap could auto-segment multi-layer raster maps with some kind of
> input parameters (not training samples) and r.texture really does
> "statistical magic", then GRASS would challenge proprietary image
> segmentation/classification tools. I think that a lot of people would
> like that.

You could probably feed i.smap with spatially *reduced* output of
i.cluster (using r.texture synthetic maps also as input here), maybe in
combination with PCA images.

Markus